Senior Sales Incentive and Performance Analyst

February 28

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Pearson VUE

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Pearson VUE is a global leader in computer-based testing, providing a wide range of credentialing and certification exams for various industries. They support test-takers and test owners by offering resources, scheduling options, and accommodations to ensure equitable access to testing. Their mission is to empower candidates and enrich communities through the delivery of high-stakes exams that validate professional skills and knowledge, contributing to career advancement and industry standards.

computer-based testing • electronic testing • psychometric services • test development • test delivery

1001 - 5000 employees

Founded 1994

📚 Education

🛍️ eCommerce

☁️ SaaS

📋 Description

• Drive the design, development, and administration of incentive compensation plans for Pearson’s enterprise sales organization. • Work closely with senior leadership, finance, HR, and sales teams to optimize sales performance. • Analyze sales performance data to provide insights on individual and team performance. • Manage the end-to-end compensation process, including plan modeling, payout calculations, and performance reporting. • Ensure all incentive compensation programs comply with company policies, legal regulations, and best practices.

🎯 Requirements

• Bachelor's degree in Business, Finance, Accounting, or a related field. Advanced degree or certifications (e.g., CCP, SHRM) is a plus. • Minimum 5-7 years of experience in sales compensation, incentive design, or sales operations, preferably within an enterprise sales environment. • Proven experience working with enterprise sales organizations, understanding complex sales cycles, and translating that into effective compensation programs. • Strong background in data analysis, financial modeling, and performance reporting. • Experience with sales incentive software tools (e.g., Xactly, Varicent) is highly desirable. • Strong analytical and problem-solving skills with the ability to turn data into actionable insights. • Excellent communication skills, with the ability to collaborate with senior leaders and explain complex concepts to non-technical audiences. • Highly proficient in Microsoft Excel (advanced functions, pivot tables, data modeling), and experience with business intelligence tools (e.g., Power BI, Tableau). • Detail-oriented, with a focus on accuracy and process improvement. • Strong organizational skills, with the ability to manage multiple projects simultaneously.